In the age of smart agriculture, precision environmental control is key to optimizing crop yield and quality. This OpenPLC-based automation solution demonstrates how a 50-mu (approximately 3.3 hectares) connected tomato greenhouse leverages edge computing and I/O flexibility for fully autonomous and remotely accessible climate regulation.
Smart Tomato Greenhouse – 50-Mu Cluster
To maintain ideal growing conditions, the greenhouse requires real-time monitoring and dynamic control of temperature, humidity, CO₂ concentration, and light intensity. An automated control system powered by the ARMxy Edge Controller and OpenPLC ensures that environmental factors are continuously monitored and adjusted.
ARMxy Main Controller – Runs OpenPLC logic and communicates with remote systems via MQTT/cloud interface.
Y-AI Board – Collects analog signals from environmental sensors (CO₂, light, temperature, humidity).
X-DO Board – Controls actuators including roof vents, exhaust fans, grow lights, and drip irrigation valves.
The Y-AI board gathers analog data every 5 minutes.
OpenPLC executes a PID control algorithm to maintain setpoints (e.g., temperature, CO₂ levels).
Based on logic conditions (e.g., CO₂ > 1000 ppm), the X-DO board activates corresponding equipment such as vent motors.
The system also synchronizes with weather station data via MQTT or cloud API for predictive adjustments (e.g., pre-closing vents before rainfall).
Remote manual override: Farmers can intervene via smartphone in real time—for example, closing windows before heavy rain.
Universal sensor compatibility: The Y-series AI board supports mixed signal input (0–20 mA and -10 to 10 V), ensuring compatibility with a wide range of agricultural sensors.
Modular I/O: Allows for flexible configuration and future expansion across multiple greenhouses.
This integrated OpenPLC + ARMxy solution enables smart greenhouses to operate more efficiently, sustainably, and autonomously—empowering agricultural producers with better control over their environment and yields.
